Point Cloud Encoding with Multi-Track Frame Rate Adaptation
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Solution Overview
Problem
Existing point cloud encoding and decoding technologies face challenges in efficiently managing point cloud media tracks with different frame rates, leading to inefficient data transmission and presentation, particularly in scenarios where network bandwidth and device performance vary.
Innovation Solution
The method involves encoding point cloud data into multiple bitstreams with different frame rates, encapsulating these as media tracks with frame rate indication information, and using a decoding apparatus to select and merge tracks based on device performance and user requirements, thereby optimizing frame rates for efficient transmission and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple point cloud media tracks with different frame rates are transmitted, then the adaptability to different network bandwidths and device performances is improved, but the network bandwidth consumption increases
Solution Approach 1:
The patent segments point cloud data into multiple media tracks with different frame rates (e.g., high frame rate track and low frame rate track). This allows the system to provide multiple quality levels so that users can select appropriate tracks based on their network conditions and device capabilities, thereby improving adaptability while controlling bandwidth consumption by not transmitting all tracks simultaneously.
Solution Approach 2:
The patent implements partial action by allowing users to selectively request and decode only the necessary media tracks based on their specific needs. Instead of transmitting all possible frame rate tracks continuously, the system provides tracks on demand, reducing unnecessary bandwidth consumption while maintaining the ability to serve diverse user requirements.
2Adaptability or versatility
If point cloud data is encoded into multiple bitstreams with different frame rates, then the flexibility in encoding and decoding is improved, but the complexity of managing multiple media tracks increases
Solution Approach 1:
The patent divides the point cloud data into separate media tracks organized by frame rate, with each track containing points encoded at a specific temporal resolution. This segmentation allows the decoder to independently manage each track and selectively process only the necessary ones, reducing the complexity of handling multiple frame rates while maintaining encoding flexibility.
Solution Approach 2:
The patent implements preliminary action by pre-organizing and pre-labeling media tracks with their respective frame rate characteristics before transmission. This allows the decoding system to quickly identify and select appropriate tracks without performing complex real-time analysis, thereby reducing operational complexity while preserving encoding versatility.
3Measurement precision
If frame rate indication information is carried in file encapsulation information, then the accuracy of frame rate identification is improved, but the size of encapsulation information increases
Solution Approach 1:
The patent applies local quality by incorporating frame rate indication information at specific localized positions within the encapsulation structure (such as in track headers or key frames) rather than throughout the entire data stream. This targeted approach ensures accurate frame rate identification where needed while minimizing the overall increase in encapsulation information size.
Solution Approach 2:
The patent utilizes parameter changes by encoding frame rate information using efficient data representations (such as logarithmic scaling or delta encoding) that maintain precision while reducing the number of bits required. This allows accurate frame rate identification with minimal overhead in the encapsulation information.
Data Source
AI summary
The present subject matter relates to point cloud encoding and decoding methods and apparatuses. A point cloud file transmitted by a data source is received. The point cloud file comprises point cloud media tracks having the same point cloud content and point cloud media tracks having different frame rates. File encapsulation information of the point cloud media tracks are parsed to obtain frame rate indication information carried in the file encapsulation information. The frame rate indication information indicates frame rates of the point cloud media tracks. A point cloud media track with a designated frame rate is selected and decoded from the point cloud file according to the frame rate indication information carried in the file encapsulation information.


